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Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family /

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"Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives presents an overview with applied examples of these key topics suitable for researchers in all areas of statistics. It adopts a practical approach suitable for applied statisticians working in social and political...

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Bibliographic Details
Other Authors: Rubin, Donald B., Gelman, Andrew, Meng, Xiao-Li
Format: eBook
Language:English
Published: Chichester, West Sussex, England ; Hoboken, NJ : Wiley, ©2004.
Series:Wiley series in probability and statistics.
Subjects:
Bayesian statistical decision theory.
Missing observations (Statistics)
Bayes Theorem
Models, Statistical
Online Access:Connect to the full text of this electronic book
Description
Summary:"Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives presents an overview with applied examples of these key topics suitable for researchers in all areas of statistics. It adopts a practical approach suitable for applied statisticians working in social and political sciences, biological and medical sciences, and physical sciences, as well as graduate students of statistics and biostatistics."--Jacket.
Physical Description:1 online resource (xix, 407 pages : : illustrations.)
Bibliography:Includes bibliographical references (pages 361-400) and index.
ISBN:9780470090459 (electronic bk.)
0470090456 (electronic bk.)